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Group Privacy: New Challenges of Data Technologies de Linnet Taylor

Group Privacy: New Challenges of Data Technologies: Philosophical Studies Series, cartea 126

Editat de Linnet Taylor, Luciano Floridi, Bart van der Sloot
en Limba Engleză Hardback – 6 ian 2017
The goal of the book is to present the latest research on the new challenges of data technologies. It will offer an overview of the social, ethical and legal problems posed by group profiling, big data and predictive analysis and of the different approaches and methods that can be used to address them. In doing so, it will help the reader to gain a better grasp of the ethical and legal conundrums posed by group profiling. The volume first maps the current and emerging uses of new data technologies and clarifies the promises and dangers of group profiling in real life situations. It then balances this with an analysis of how far the current legal paradigm grants group rights to privacy and data protection, and discusses possible routes to addressing these problems. Finally, an afterword gathers the conclusions reached by the different authors and discuss future perspectives on regulating new data technologies.
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Specificații

ISBN-13: 9783319466064
ISBN-10: 3319466062
Pagini: 300
Ilustrații: XIII, 237 p. 4 illus.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.53 kg
Ediția:1st ed. 2017
Editura: Springer International Publishing
Colecția Springer
Seria Philosophical Studies Series

Locul publicării:Cham, Switzerland

Cuprins

Preface (Taylor; Floridi; Van der Sloot).- Chapter 1 Group privacy and data ethics in the developing world (Taylor; Hoffman).- Chapter 2 Privacy Leaks: Agents, Agency and Betrayal in Networked Conditions (Shah).- Chapter 3 Title TBC (Letouze).- Chapter 4 Title TBC (Jayaram).- Chapter 5 The Ethical Analysis of Group Privacy (Floridi).- Chapter 6 Social Machines as an Approach to Group Privacy (O’Hara).- Chapter 7 Title TBC (Dijstelbloem).- Chapter 8 Group privacy in a world of Big Data analytics (Mantelero).- Chapter 9 The Group, the Private, and the Individual: Some Remarks on Today’s State-of-the Legal-Art in Data Protection (Pagallo).- Chapter 10 Are Genetic Groups Protected under the Proposed Data Protection Regulation? (Hallinan; De Hert).- Chapter 11 Group profiling and transparency (Hildebrandt).- Chapter 12 Do privacy and data protection rules protect groups and should they? (Van der Sloot).- Afterword: Privacy and group rights: Challenges and opportunities (Taylor; Floridi; Vander Sloot). 

Recenzii

 

Notă biografică

Luciano Floridi is Professor of Philosophy and Ethics of Information at the University of Oxford, where he is the Director of Research of the Oxford Internet Institute. Among his recent books, all published by Oxford University Press: The Fourth Revolution - How the infosphere is reshaping human reality (2014), The Ethics of Information (2013), The Philosophy of Information (2011). He is a member of the EU's Ethics Advisory Group on Ethical Dimensions of Data Protection, of Google Advisory Board on “the right to be forgotten”, and Chairman of the Ethics Advisory Board of the European Medical Information Framework.
Linnet Taylor is Assistant Professor of Data Ethics, Law and Policy at the Tilburg Institute for Law, Technology, and Society (TILT). She was previously a Marie Curie research fellow in the University of Amsterdam’s International Development faculty, with the Governance and Inclusive Development group. Her research focuses on the use ofnew types of digital data in research and policymaking around issues of development, urban planning and mobility. She was a postdoctoral researcher at the Oxford Internet Institute, and studied a DPhil in International Development at the Institute of Development Studies, University of Sussex. Her doctoral research focused on the adoption of the internet in West Africa. Before her doctoral work she was a researcher at the Rockefeller Foundation where she developed programmes around economic security and human mobility.
Bart van der Sloot specialises in questions regarding Privacy and Big Data. Funded by a Top Talent grant from the Dutch Organization for Scientific Research (NWO), his research at the Institute for Information Law (University of Amsterdam) is focused on finding an alternative for the current privacy paradigm, which is focused on individual rights and personal interests. In the past, Bart van der Sloot has worked for the Netherlands Scientific Councilfor Government Policy (WRR), an independent advisory body for the Dutch government, co-authoring a report on the regulation of Big Data in respect of privacy and security. He currently serves as the general editor of the European Data Protection Law Review and is the coordinator of the Amsterdam Platform for Privacy Research.

Textul de pe ultima copertă

The goal of the book is to present the latest research on the new challenges of data technologies. It will offer an overview of the social, ethical and legal problems posed by group profiling, big data and predictive analysis and of the different approaches and methods that can be used to address them. In doing so, it will help the reader to gain a better grasp of the ethical and legal conundrums posed by group profiling. The volume first maps the current and emerging uses of new data technologies and clarifies the promises and dangers of group profiling in real life situations. It then balances this with an analysis of how far the current legal paradigm grants group rights to privacy and data protection, and discusses possible routes to addressing these problems. Finally, an afterword gathers the conclusions reached by the different authors and discuss future perspectives on regulating new data technologies.

Caracteristici

Collects interdisciplinary and comprehensive analyses of theoretical and applied problems concerning group profiling, Big Data and predictive analyses Identifies the key issues and most important approaches in the debate on new data technologies Analyses one of the most promising possibilities to solving the current challenges, namely that of granting groups a right to privacy